The Hidden Burden of Mortality Across the Spectrum of ICD-10 Conditions in Australia: A Multiple Cause of Death Analysis
Farquhar, H. L.
Show abstract
BackgroundDeath certificates record both an underlying cause and contributing conditions, yet mortality statistics predominantly report only the underlying cause. We quantify this "hidden burden" across all ICD-10 conditions in Australian mortality data using the multiple-to-underlying ratio (MUR): total death certificate mentions divided by underlying cause deaths. MethodsWe analysed Australian Bureau of Statistics Causes of Death 2023 data (N = 187,268 registered deaths) to compute the ratio for all ICD-10 conditions. Three pre-registered confirmatory hypotheses tested sex differences in hypertension and mental health ratios, and geographic variation by preventability, with Holm-Bonferroni correction. ResultsDeath certificates recorded an average of 3.5 causes per decedent, meaning the underlying cause captures only [~]29% of recorded morbidity. Of 663 conditions with [≥]10 underlying cause deaths, the ratio ranged from 1.0 (external causes) to 281.1, with a median of 2.5. Among conditions with stable estimates ([≥]50 underlying deaths), the highest ratio was 94.3 (complications of medical care). Age explained only 10.9% of ratio variation (R2 = 0.109), and no top-ranked conditions were identified as primarily age-driven, suggesting the ratio ranking is robust to age confounding. However, external validation using US CDC data showed age standardisation materially changed absolute ratio values for 6 of 8 cause groups (divergence 16-34%), with the direction varying by condition rather than following a simple age-concentration pattern. Males showed consistently higher ratios, most strikingly for mental health disorders (62% higher); a counterfactual analysis estimated suicide coding rules explain only 6-15% of this sex difference. Three pre-registered hypotheses were null after correction; H1 and H3 (sex differences) were underpowered (n = 4, n = 8 pairs) with large effect sizes (r = 0.77-0.80), while H2 (geographic variation) showed a clear null. ConclusionsThe hidden burden of mortality in Australia is substantial and unevenly distributed, with symptom codes, mental health conditions, and hypertension most undercounted. The ratio provides a transparent framework for identifying conditions whose health impact is systematically understated by conventional mortality reporting.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Factors associated with excess all-cause mortality in the first wave of COVID-19 pandemic in the UK: a time-series analysis using the Clinical Practice Research Datalink 96%
- Sociodemographic Characteristics and Longitudinal Progression of Multimorbidity: A Multistate Modelling Analysis of a Large Primary Care Records Dataset in England 95%
- Overall and cause-specific hospitalisation and death after COVID-19 hospitalisation in England: cohort study in OpenSAFELY using linked primary care, secondary care and death registration data 93%
Similar papers in this journal
- Ethnic differences in COVID-19 mortality during the first two waves of the Coronavirus Pandemic: a nationwide cohort study of 29 million adults in England 95%
- Differential risk of healthcare workers versus the general population during outbreak, war and pandemic crises 92%
- Pre-pandemic cognitive function and COVID-19 mortality: prospective cohort study 92%
Similar papers in this journal
- Impacts of COVID-19 on long-term health and health care use 93%
- Patterns of rates of mortality in the Clinical Practice Research Datalink 93%
- Healthcare presentations with self-harm and the association with COVID-19: an e-cohort whole-population-based study using individual-level linked routine electronic health records in Wales, UK, 2016 - March 2021 93%
Similar papers in this journal
- Risk of COVID-19 related deaths for SARS-CoV-2 Omicron (B.1.1.529) compared with Delta (B.1.617.2) 94%
- Epidemiology of post-COVID syndrome following hospitalisation with coronavirus: a retrospective cohort study 94%
- Increased hazard of mortality in cases compatible with SARS-CoV-2 variant of concern 202012/1 - a matched cohort study 93%
Similar papers in this journal
- Ethnic differences in COVID-19 mortality in the second and third waves of the pandemic in England during the vaccine roll-out: a retrospective, population-based cohort study 94%
- Coding Long COVID: Characterizing a new disease through an ICD-10 lens 93%
- Relation of severe COVID-19 in Scotland to transmission-related factors and risk conditions eligible for shielding support: REACT-SCOT case-control study 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.